A Multi-keyword Search Algorithm Based on Polynomial Function and Safety Inner-product Method in Secure Cloud Environment. - Haiyun Li; Haifeng Li 009; Kaibin Wei; Shoulin Yin; Chu Zhao (J. Inf. Hiding Multim. Signal Process., 2017)

A Proxy Re-Encryption Scheme Based on Elliptic Curve Group. - Hang Li 006; Shoulin Yin; Chu Zhao; Lin Teng (J. Inf. Hiding Multim. Signal Process., 2017)

A Provable Private Data Aggregation Scheme Based on Digital Signatures and Homomorphic Encryption for Wireless Sensor Networks. - Haiyun Ma; Zhonglin Zhang; Haifeng Li 009; Shoulin Yin; Chu Zhao (J. Inf. Hiding Multim. Signal Process., 2017)

Research on Medical Image Encryption Method Based on Improved Krill Herb Algorithm and Chaotic Systems. - Jing Bi 003; Shoulin Yin; Hang Li 006; Lin Teng; Chu Zhao (Int. J. Netw. Secur., 2020)

An Improved Image Encryption Algorithm Based on Chaotic Mapping and Discrete Wavelet Transform Domain. - Lei Meng; Shoulin Yin; Chu Zhao; Hang Li 006; Yang Sun (Int. J. Netw. Secur., 2020)

Medical Image Encryption Based on Stream Cipher Algorithm and Krill Group. - Chu Zhao; Shoulin Yin; Hang Li 006; Yang Sun (Int. J. Netw. Secur., 2020)

Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction. - Yihao Zhang 002; Chu Zhao; Mian Chen; Meng Yuan (IEEE Access, 2021)

Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation. - Yihao Zhang 002; Meng Yuan; Chu Zhao; Mian Chen; Xiaoyang Liu 001 (Appl. Intell., 2022)

Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation. - Yihao Zhang 002; Chu Zhao; Meng Yuan; Mian Chen; Xiaoyang Liu 001 (Intell. Data Anal., 2022)

Integrating label propagation with graph convolutional networks for recommendation. - Yihao Zhang 002; Meng Yuan; Chu Zhao; Mian Chen; Xiaoyang Liu 001 (Neural Comput. Appl., 2022)

DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment. - Changyong Yu; Yuhai Zhao; Chu Zhao; Haitao Ma; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

On the Design of Superimposed Pilots in MIMO-OFDM with Index Modulation. - Lijun Yang; Lilin Dan; Chu Zhao (VTC2023-Spring, 2023)

Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation. - Yihao Zhang 002; Chu Zhao; Weiwen Liao; Wei Zhou 028; Meng Yuan (ACM Trans. Intell. Syst. Technol., 2023)

NeutronCache: An Efficient Cache-Enhanced Distributed Graph Neural Network Training System. - Chu Zhao; Shengjie Dong; Yuhai Zhao; Yuan Li 008 (CIKM, 2024)

Bayesian attention-based user behaviour modelling for click-through rate prediction. - Yihao Zhang 002; Mian Chen; Ruizhen Chen; Chu Zhao; Meng Yuan; Zhu Sun 001 (CAAI Trans. Intell. Technol., 2024)

MiniDBG: A Novel and Minimal De Bruijn Graph for Read Mapping. - Changyong Yu; Yuhai Zhao; Chu Zhao; Jianyu Jin; Keming Mao; Guoren Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. - Chu Zhao; Enneng Yang; Yuliang Liang; Pengxiang Lan; Yuting Liu 003; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (WWW, 2025)

Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model. - Chu Zhao; Enneng Yang; Yuliang Liang; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (WWW, 2025)

Hyperbolic Diffusion Recommender Model. - Meng Yuan; Yutian Xiao; Wei Chen 061; Chu Zhao; Deqing Wang; Fuzhen Zhuang (CoRR, 2025)

Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials. - Chu Zhao; Enneng Yang; Yuting Liu 003; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (CoRR, 2025)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation. - Chu Zhao; Enneng Yang; Yuliang Liang; Jianzhe Zhao; Guibing Guo; Xingwei Wang 001 (ACM Trans. Inf. Syst., 2025)

HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. - Meng Yuan; Zhao Zhang 011; Wei Chen 061; Chu Zhao; Tong Cai; Deqing Wang; Rui Liu 007; Fuzhen Zhuang (ACM Trans. Inf. Syst., 2025)

Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation. - Chu Zhao; Eneng Yang; Yizhou Dang; Jianzhe Zhao; Guibing Guo; Xingwei Wang (CoRR, 2025)